Improved Single Image Dehazing using Geometry

Date

2009

Authors

Carr, George Peter
Hartley, Richard

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

Images captured in foggy weather conditions exhibit losses in quality which are dependent on distance. If the depth and atmospheric conditions are known, one can enhance the images (to some degree) by compensating for the effects of the fog. Recently, several investigations have presented methods for recovering depth maps using only the information contained in a single foggy image. Each technique estimates the depth of each pixel independently, and assumes neighbouring pixels will have similar depths. In this work, we employ the fact that images containing fog are captured from outdoor cameras. As a result, the scene geometry is usually dominated by a ground plane. More importantly, objects which appear towards the top of the image are usually further away. We show how this preference (implemented as a soft constraint) is compatible with the alpha-expansion optimization technique and illustrate how it can be used to improve the robustness of any single image dehazing technique.

Description

Keywords

Keywords: Alpha expansion; Atmospheric conditions; Depth Map; Graph cut; Graph cuts; Ground planes; Monotonic optimization; Optimization techniques; Outdoor cameras; Single images; Soft constraint; Weather conditions; Fog; Image processing; Optimization; Pixels; De Alpha expansion; Enhancement; Fog; Graph cuts; Haze; Image; Monotonic; Optimization

Citation

Source

Proceedings of the Digital Image Computing: Techniques and Applications (DICTA 2009)

Type

Conference paper

Book Title

Entity type

Access Statement

License Rights

DOI

10.1109/DICTA.2009.25

Restricted until

2037-12-31